The 10 Research Topics in the Internet of Things

Zhang, Wei Emma; Sheng, Quan Z.; Mahmood, Adnan; Tran, Dai Hoang; Zaib, Munazza; Hamad, Salma Abdalla; Aljubairy, Abdulwahab; Alhazmi, Ahoud; Sagar, Subhash; Ma, Chao

doi:10.1109/cic50333.2020.00015

Cited by 36 publications

(20 citation statements)

References 74 publications

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“…The term internet of things (IoT) was coined by Kevin Ashton in 1999 when he envisaged a world where physical objects will have internet capability to support human-to-machine and machine-to-machine communication [ 112 ]. This concept entails that objects are fitted with intelligent devices and communication capabilities to achieve remote data transfer and/or control.…”

Section: Technology-based Contact Tracing Methods Against Covid-19mentioning

confidence: 99%

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Alo¹,

Nkwo²,

Nweke

et al. 2021

Sensors

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The COVID-19 Pandemic has punched a devastating blow on the majority of the world’s population. Millions of people have been infected while hundreds of thousands have died of the disease throwing many families into mourning and other psychological torments. It has also crippled the economy of many countries of the world leading to job losses, high inflation, and dwindling Gross Domestic Product (GDP). The duo of social distancing and contact tracing are the major technological-based non-pharmaceutical public health intervention strategies adopted for combating the dreaded disease. These technologies have been deployed by different countries around the world to achieve effective and efficient means of maintaining appropriate distance and tracking the transmission pattern of the diseases or identifying those at high risk of infecting others. This paper aims to synthesize the research efforts on contact tracing and social distancing to minimize the spread of COVID-19. The paper critically and comprehensively reviews contact tracing technologies, protocols, and mobile applications (apps) that were recently developed and deployed against the coronavirus disease. Furthermore, the paper discusses social distancing technologies, appropriate methods to maintain distances, regulations, isolation/quarantine, and interaction strategies. In addition, the paper highlights different security/privacy vulnerabilities identified in contact tracing and social distancing technologies and solutions against these vulnerabilities. We also x-rayed the strengths and weaknesses of the various technologies concerning their application in contact tracing and social distancing. Finally, the paper proposed insightful recommendations and open research directions in contact tracing and social distancing that could assist researchers, developers, and governments in implementing new technological methods to combat the menace of COVID-19.

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Section: Technology-based Contact Tracing Methods Against Covid-19mentioning

confidence: 99%

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Alo¹,

Nkwo²,

Nweke

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…We consider most fields in the data formats as metadata, which allows the incorporation of more functionalities to the framework by adding more metadata to the basic formats presented in this work. For instance, we can extend the virtual node format by adding node description, sensor types associated with each measurement, unit metrics, or location identifiers to better index IoT nodes [48]. Similarly, we can add measurement metadata to the data sharing semantic to have more fine-grained access sharing.…”

Section: Extensibility and Opennessmentioning

confidence: 99%

Towards data sharing economy on Internet of Things: a semantic for telemetry data

Halim

Hutagalung

2022

J Big Data

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Internet of Things (IoT) provides data processing and machine learning techniques with access to physical world data through sensors, namely telemetry data. Acquiring sensor data through IoT faces challenges such as connectivity and proper measurement requiring domain-specific knowledge, that results in data quality problems. Data sharing is one solution to this. In this work, we propose IoT Telemetry Data Hub (IoT TeleHub), a general framework and semantic for telemetry data collection and sharing. The framework is principled on abstraction, layering of elements, and extensibility and openness. We showed that while the framework is defined specifically for telemetry data, it is general enough to be mapped to existing IoT platforms with various use cases. Our framework also considers the machine-readable and machine-understandable notion in regard to resource-constrained IoT devices. We also present IoThingsHub, an IoT platform for real-time data sharing based on the proposed framework. The platform demonstrated that the framework could be implemented with existing technologies such as HTTP, MQTT, SQL, NoSQL.

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“…IoT services and applications that could operate on billions of IoT nodes increasingly demand more robust lightweight cryptographic algorithms to secure their operations. These futuristic IoT services and applications include social IoT, and IoT search engines, services computing, recommendation systems, analytics, and experimental platforms [16,17]. Since the IoT trend first began, many researchers and institutions have introduced lighter-weight encryption algorithms to enhance security in a variety of IoT applications, including health applications, smart homes and cities, monitoring, tracking and surveillance, and location-based services (LBSs) [18,19].…”

Section: Lightweight Cryptographic Applicationsmentioning

confidence: 99%

Software Design and Experimental Evaluation of a Reduced AES for IoT Applications

2021

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IoT devices include RFID tags, microprocessors, sensors, readers, and actuators. Their main characteristics are their limited resources and computing capabilities, which pose critical challenges to the reliability and security of their applications. Encryption is necessary for security when using these limited-resource devices, but conventional cryptographic algorithms are too heavyweight and resource-demanding to run on IoT infrastructures. This paper presents a lightweight version of AES (called LAES), which provides competitive results in terms of randomness levels and processing time, operating on GF(24). Detailed mathematical operations and proofs are presented concerning LAES rounds design fundamentals. The proposed LAES algorithm is evaluated based on its randomness, performance, and power consumption; it is then compared to other cryptographic algorithm variants, namely Present, Clefia, and AES. The design of the randomness and performance analysis is based on six measures developed with the help of the NIST test statistical suite of cryptographic applications. The performance and power consumption of LAES on a low-power, 8-bit microcontroller unit were evaluated using an Arduino Uno board. LAES was found to have competitive randomness levels, processing times, and power consumption compared to Present, Clefia, and AES.

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The 10 Research Topics in the Internet of Things

Cited by 36 publications

References 74 publications

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Towards data sharing economy on Internet of Things: a semantic for telemetry data

Software Design and Experimental Evaluation of a Reduced AES for IoT Applications

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